Saliency-dependent adaptive remeshing for cloth simulation
文献类型：期刊论文
| 作者 | Shi, Min1; Ming, Hou1; Liu, Yaning1; Mao, Tianlu2; Zhu, Dengming2; Wang, Zhaoqi2; Zhang, Fan3 |
| 刊名 | TEXTILE RESEARCH JOURNAL
 |
| 出版日期 | 2020-08-10 |
| 页码 | 16 |
| 关键词 | cloth simulation visual saliency machine learning eye-tracking technology |
| ISSN号 | 0040-5175 |
| DOI | 10.1177/0040517520944248 |
| 英文摘要 | We propose a method for simulating cloth with meshes dynamically refined according to visual saliency. It is a common belief that it is preferable for the regions of an image being viewed to have more details than others. For a certain scene, a low-resolution cloth mesh is first simulated and rendered into images in the preview stage. Pixel saliency values of these images are predicted according to a pre-trained saliency prediction model. These pixel saliencies are then translated to a vertex saliency of the corresponding meshes. Vertex saliency, together with camera positions and a number of geometric features of surfaces, guides the dynamic remeshing for simulation in the production stage. To build the saliency prediction model, images extracted from various videos of clothing scenes were used as training data. Participants were asked to watch these videos and their eye motion was tracked. A saliency map is generated from the eye motion data for each extracted video frame image. Image feature vectors and map labels are sent to a Support Vector Machine for training to obtain a saliency prediction model. Our method greatly reduces the number of vertices and faces in the clothing model, and generates a speed-up of more than 3 x for scenes with single dressed character, while for multi-character scenes the speed-up is increased to more than 5x. The proposed technique can work together with view-dependency for offline simulation. |
| WOS研究方向 | Materials Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000558732900001 |
| 出版者 | SAGE PUBLICATIONS LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/15811]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Mao, Tianlu |
| 作者单位 | 1.North China Elect Power Univ, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China 3.Beijing Inst Fash Technol, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Shi, Min,Ming, Hou,Liu, Yaning,et al. Saliency-dependent adaptive remeshing for cloth simulation[J]. TEXTILE RESEARCH JOURNAL,2020:16. |
| APA | Shi, Min.,Ming, Hou.,Liu, Yaning.,Mao, Tianlu.,Zhu, Dengming.,...&Zhang, Fan.(2020).Saliency-dependent adaptive remeshing for cloth simulation.TEXTILE RESEARCH JOURNAL,16. |
| MLA | Shi, Min,et al."Saliency-dependent adaptive remeshing for cloth simulation".TEXTILE RESEARCH JOURNAL (2020):16. |
入库方式： OAI收割
来源：计算技术研究所
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